Prediction of environment variables in precision agriculture using a sparse model as data fusion strategy

Author:

Mancipe-Castro L.,Gutiérrez-Carvajal R.E.

Funder

Universidad Militar Nueva Granada

Publisher

Elsevier BV

Subject

Computer Science Applications,Agronomy and Crop Science,Animal Science and Zoology,Aquatic Science,Forestry

Reference35 articles.

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2. The Core Writing Team IPCC. Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva, Switzerland; 2015.

3. Ilie-Ablachim D, Pǎtru GC, Florea IM, Rosner D. Monitoring device for culture substrate growth parameters for precision agriculture: Acronym: MoniSen. In: Networking in Education and Research: RoEduNet International Conference 15th Edition, RoEduNet 2016 - Proceedings. ; 2016:1-7.

4. A software model for precision agriculture for small and marginal farmers;Babu;C2013 IEEE Global Humanitarian Technology Conference: South Asia Satellite, GHTC-SAS,2013

5. Application of Wireless Sensor Networks for Greenhouse Parameter Control in Precision Agriculture;Chaudhary;International Journal of Wireless & Mobile Networks.,2011

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